Backblaze B2 MCP server
MCP server for Backblaze B2 Cloud Storage: a focused, safe 40-tool surface (17 native B2 SDK, 19 S3 data-plane, 4 analytics) for any MCP-compatible……
Find MCP servers that connect AI assistants to useful tools and data. Explore what each server does, its setup and its documentation.
2703 servers · Page 216 of 226
MCP server for Backblaze B2 Cloud Storage: a focused, safe 40-tool surface (17 native B2 SDK, 19 S3 data-plane, 4 analytics) for any MCP-compatible……
Pay-per-call JSON-RPC and early-chain data for AI agents, including Arc/Base RPC, token quotes, whale flows and token-risk reports via x402.
Open-source social-media scheduling and publishing with calendar workflows, teams, approvals and an MCP bridge for AI agents.
Automated codebase documentation for GitHub: searchable docs, MCP context for AI agents, doc drift detection, and Friday Cleanup PRs.
Local-first MCP server that snapshots your project's working state into one context object. Open-core, privacy-first. 6 tools, with
Manage Percona PostgreSQL and PgBouncer clusters on Kubernetes, including tuning, backups, recovery and major upgrades.
CrawlForge MCP Server is a Model Context Protocol server that gives AI assistants 28 web tools — scraping, crawling, web search, real Google SERP…
AON MCP connects AI agents to real, buyable products and services with live pricing and tracked links—enabling builders to earn developer revenue… 5 tools…
EU AI Act measurement and verification tooling from Council of AI; provides measurements rather than certification.
Retrieve SEC EDGAR 10-K, 10-Q and 8-K filings for AI agents, paid per call through x402 on Base. 3 tools, with
Quantum-inspired keyring for AI coding agents. q-ring anchors your API keys. 46 tools, with
Crypto data focused on native assets, excluding stablecoins and wrapped or tokenized assets.
An MCP server exposes tools or data through the Model Context Protocol so a compatible AI client can use them. Each project has its own installation, authentication and permission requirements.
Open a server’s page for its getting-started notes, compatibility and sources, then follow the original project’s documentation for your AI client.
Entries link to the original documentation. Check access requirements, costs and maintenance there before installing, and grant a server only the access it needs.